Articles, books, notes to read from 1-8 March 2012

1. Image denoising algorithm via best wavelet packet base using Wiener cost function
2. Adaptive surveillance video noise suppression
3. Robust video denoising using Low rank matrix completion
4. Wavelet based nonlocal-means super-resolution for video sequences
5. Image sequence denoising via sparse and redundant representations
6. Image and video denoising using adaptive dual-tree discrete wavelet packets
7. Digital Image Restoration
8. SURE-LET for orthonormal wavelet-Domain Video Denoising
9. An augmented Lagrangian method for total variation video restoration
10. Sparse representation for color image restoration
11. Fractal Image Denoising
12. Variational methods for image restoration
13. The what, how, and why wavelet shrinkage denoising
14. Bivariate Shrinkage Functions for Wavelet-Based Denoising Exploiting Interscale Dependency
15. Geometric Features-Based Filtering for Suppression of Impulse Noise in Color Images
16. Combined Wavelet-Domain and Motion-Compensated Video Denoising Based on Video Codec Motion Estimation Methods
17. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
18. Vector filtering for color imaging
19. Threshold selection for wavelet shrinkage of noisy data
20. Fast Image Recovery Using Variable Splitting and Constrained Optimization
21. Denoising methods: K-SVD, MK-SVD, BM3D
22. Image denoising using multi-stage sparse representations
23. ECE 101 signal and systems
24. Install Ubuntu 11.10 in VirtualBox on Windows 7 http://www.youtube.com/watch?v=R1UiDF45tbs
25. D. L. Donoho, “De-Noising by Soft-Thresholding,” IEEE Transaction on Information Theory, Vol. 41, No. 3, 1995, pp. 613-627.
26. Y. F. Zheng and R. L. Ewing, “Feature-Based Wavelet Shrinkage Algorithm for Image Denoising,” IEEE Trans-action on Image Processing, Vol. 14, No. 12024-2039.
27. M. Nasri and H. Nezamabadi-pour, “Image Denoising in the Wavelet Domain Using a New Adaptive Thresholding Function,” Neurocomputing, Vol. 72, No. 4-6, 2009, pp. 1012-1025.
28. Spectrum signal de-noising based on wavelet packet